OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
An automated confirmatory system for analysis of mammograms
Wei Peng, René V. Mayorga, Esam M.A. Hussein
Computer Methods and Programs in Biomedicine (2015) Vol. 125, pp. 134-144
Closed Access | Times Cited: 40
Wei Peng, René V. Mayorga, Esam M.A. Hussein
Computer Methods and Programs in Biomedicine (2015) Vol. 125, pp. 134-144
Closed Access | Times Cited: 40
Showing 26-50 of 40 citing articles:
Automated Bone Age Analysis with Lossy Image Files
Jordan E. Pinsker, Michael S.L. Ching, Daniel P. Chiles, et al.
Military Medicine (2017) Vol. 182, Iss. 9, pp. e1769-e1772
Open Access | Times Cited: 5
Jordan E. Pinsker, Michael S.L. Ching, Daniel P. Chiles, et al.
Military Medicine (2017) Vol. 182, Iss. 9, pp. e1769-e1772
Open Access | Times Cited: 5
Value of Conventional MRI Texture Analysis in the Differential Diagnosis of Phyllodes Tumors and Fibroadenomas of the Breast
Nianping Jiang, Zhong Li, Chunlai Zhang, et al.
Breast Care (2020) Vol. 16, Iss. 3, pp. 283-290
Open Access | Times Cited: 5
Nianping Jiang, Zhong Li, Chunlai Zhang, et al.
Breast Care (2020) Vol. 16, Iss. 3, pp. 283-290
Open Access | Times Cited: 5
A COMPARATIVE STUDY OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS FOR THE DETECTION AND CLASSIFICATION OF BREAST CANCER FROM MAMMOGRAPHY IMAGES AND ULTRA SOUND IMAGES
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Deep Learning for Breast Cancer Detection from Mammograms Images
J. Choy, Sew Sun Tiang, Wei Hong Lim, et al.
Lecture notes in networks and systems (2024), pp. 265-276
Closed Access
J. Choy, Sew Sun Tiang, Wei Hong Lim, et al.
Lecture notes in networks and systems (2024), pp. 265-276
Closed Access
Classification of Benign and Malignant Breast Masses on Mammograms for Large Datasets using Core Vector Machines
Jebasonia Jebamony, Dheeba Jacob
Current Medical Imaging Formerly Current Medical Imaging Reviews (2019) Vol. 16, Iss. 6, pp. 703-710
Closed Access | Times Cited: 4
Jebasonia Jebamony, Dheeba Jacob
Current Medical Imaging Formerly Current Medical Imaging Reviews (2019) Vol. 16, Iss. 6, pp. 703-710
Closed Access | Times Cited: 4
Mammogram Segmentation Methods: A Brief Review
Sarthak Padhi, Suvendu Rup, Sanjay Saxena, et al.
(2019), pp. 218-223
Closed Access | Times Cited: 4
Sarthak Padhi, Suvendu Rup, Sanjay Saxena, et al.
(2019), pp. 218-223
Closed Access | Times Cited: 4
A Machine Learning Approach for Detection of Breast Cancer in Women Using Advanced GLCM
L. Kanya Kumari, B. N. Jagadesh
Lecture notes in electrical engineering (2023), pp. 89-100
Closed Access | Times Cited: 1
L. Kanya Kumari, B. N. Jagadesh
Lecture notes in electrical engineering (2023), pp. 89-100
Closed Access | Times Cited: 1
Multi-View Attention-based Late Fusion (MVALF) CADx system for breast cancer using deep learning
Iftikhar Hina, Shahid Raza, Raza Basit, et al.
Machine Graphics and Vision (2020) Vol. 29, Iss. 1/4, pp. 55-78
Open Access | Times Cited: 3
Iftikhar Hina, Shahid Raza, Raza Basit, et al.
Machine Graphics and Vision (2020) Vol. 29, Iss. 1/4, pp. 55-78
Open Access | Times Cited: 3
A New Mammography Lesion Classification Method Based on Convolutional Neural Network
Xinlei Wei, Yide Ma, Runze Wang
(2019), pp. 39-43
Closed Access | Times Cited: 1
Xinlei Wei, Yide Ma, Runze Wang
(2019), pp. 39-43
Closed Access | Times Cited: 1
Design and implementation of transfer learned deep CNN with feature fusion for automated mammogram classification
V. Sridevi, J. Abdul Samath
International Journal of Health Sciences (2022), pp. 3033-3047
Open Access | Times Cited: 1
V. Sridevi, J. Abdul Samath
International Journal of Health Sciences (2022), pp. 3033-3047
Open Access | Times Cited: 1
INVESTIGATION OF DIFFERENT MACHINE LEARNING CLASSIFIERS FOR TIMELY FORECAST OF BREAST CANCER USING WISCONSIN DATASET
Mayuree Katara, Akash Saxena
International Journal of Technical Research & Science (2023) Vol. 8, Iss. 05
Open Access
Mayuree Katara, Akash Saxena
International Journal of Technical Research & Science (2023) Vol. 8, Iss. 05
Open Access
Colour Clustering and Deep Transfer Learning Techniques for Breast Cancer Detection Using Mammography Images
Hosameldin Ahmed, Asoke K. Nandi
Lecture notes in networks and systems (2023), pp. 105-119
Closed Access
Hosameldin Ahmed, Asoke K. Nandi
Lecture notes in networks and systems (2023), pp. 105-119
Closed Access
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review
Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan
arXiv (Cornell University) (2020)
Closed Access
Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan
arXiv (Cornell University) (2020)
Closed Access
Mammogram Classification with Forest Optimization using Machine Learning Algorithms
Kanya Kumari L, S. Jayaprada, Ranga Rao J
International Journal of Current Research and Review (2021) Vol. 13, Iss. 09, pp. 136-141
Open Access
Kanya Kumari L, S. Jayaprada, Ranga Rao J
International Journal of Current Research and Review (2021) Vol. 13, Iss. 09, pp. 136-141
Open Access
Automatic Tumor Segmentation in Mammogram Images for Healthcare Systems in Smart Cities
Alberto Ochoa, José Mejía
Studies in systems, decision and control (2021), pp. 75-86
Closed Access
Alberto Ochoa, José Mejía
Studies in systems, decision and control (2021), pp. 75-86
Closed Access
